Variance Estimators of the Gini Coefficient—Probability Sampling
针对有限总体，在任意概率抽样设计下定义了基尼系数的估计量，并提出了其方差的不同估计方法，通过瑞典家庭收入数据的蒙特卡洛模拟评估了这些估计量的表现。
An estimator of the Gini coefficient (the well-known income inequality measure) of a finite population is defined for an arbitrary probability sampling design, taking the sampling design into consideration. Alternative estimators of the variance of the estimated Gini coefficient are introduced. The sampling performance of the Gini coefficient estimator and its variance estimators is studied by means of a Monte Carlo study, using stratified sampling from a miniature population of Swedish households with authentic income data.